Publicaciones en las que colabora con Ignacio Rojas Ruiz (29)

2010

  1. Applying multiobjective RBFNNs optimization and feature selection to a mineral reduction problem

    Expert Systems with Applications, Vol. 37, Núm. 6, pp. 4050-4057

  2. Design of specific-to-problem kernels and use of kernel weighted K-nearest neighbours for time series modelling

    Neurocomputing, Vol. 73, Núm. 10-12, pp. 1965-1975

  3. New method for instance or prototype selection using mutual information in time series prediction

    Neurocomputing, Vol. 73, Núm. 10-12, pp. 2030-2038

  4. Predicting marital dissolutions using Radial Basis Function Neural Networks

    2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010

  5. Predicting marital dissolutions using radial basis function neural networks

    Proceedings of the International Joint Conference on Neural Networks

  6. Prediction of color change after tooth bleaching using fuzzy logic for Vita Classical shades identification

    Applied Optics, Vol. 49, Núm. 3, pp. 422-429

  7. Using near-infrared spectroscopy in the classification of white and iberian pork with neural networks

    Neural Computing and Applications, Vol. 19, Núm. 3, pp. 465-470

2009

  1. Applying mutual information for prototype or instance selection in regression problems

    ESANN 2009 Proceedings, 17th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning

  2. Creation of specific-to-problem kernel functions for function approximatio

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Efficient optimization of the parameters of LS-SVM for regression versus cross-validation error

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. Efficient parallel feature selection for steganography problems

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  5. Global and local modelling in radial basis functions networks

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  6. Intelligent system based on genetic programming for atrial fibrillation classification

    Applied Artificial Intelligence, Vol. 23, Núm. 10, pp. 895-909

  7. Mutual information based initialization of forward-backward search for feature selection in regression problems

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  8. Parallel multiobjective memetic RBFNNs design and feature selection for function approximation problems

    Neurocomputing, Vol. 72, Núm. 16-18, pp. 3541-3555

  9. Parallelization of the nearest-neighbour search and the cross-validation error evaluation for the kernel weighted k-nn algorithm applied to large data dets in matlab

    Proceedings of the 2009 International Conference on High Performance Computing and Simulation, HPCS 2009

  10. Risk factor identification and classification of macrosomic newborns by neural networks

    ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications

  11. Strengthening the forward variable selection stopping criterion

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2008

  1. Hybridization of intelligent techniques and ARIMA models for time series prediction

    Fuzzy Sets and Systems, Vol. 159, Núm. 7, pp. 821-845

  2. Minimising the delta test for variable selection in regression problems

    International Journal of High Performance Systems Architecture, Vol. 1, Núm. 4, pp. 269-281